The main research of this thesis carries on the method and application technology of classification and coding system under the environment of PDM.
本文主要研究了在PD M环境下针对机械产品零部件进行分类编码的方法及实现技术。
A new multi-description video coding scheme based on distributed source coding is proposed to solve the drift problem of the multi-description video codec under packet loss channels.
为了解决多描述视频编码器在丢包信道下的漂移问题，本文提出了一种新的基于分布式视频算法的多描述视频编码方案。
Using presently successfully CELP speech coding method to compress the synthetic unit, under the ratio of 20, can still have high articulation synthetic speech.
采用目前较成功的CELP语音编码方法对合成单元进行压缩，在压缩20多倍的情况下仍能保证合成语音的高清晰度。
The simulation results show that the proposed algorithm improved the throughput more obvious than any single modulation and coding scheme whether under high or low SNR conditions.
仿真结果表明：无论在高信噪比还是在低信噪比条件下，自适应算法均比单一的编码调制方案吞吐量有明显的提升。
MIMO is a good technology to fight with fading, and it will significantly improve the performance for network coding under a fading channel.
而MIMO技术可以很好的对抗衰落，可以利用MIMO技术来显著改善网络编码在衰落信道下的性能。
The performance of space-time channel coding scheme is discussed under a Rayleigh fading channel with spatially correlated fading amplitudes and an additive white Gaussian noise.
主要研究了空时编码系统在相关瑞利衰落信道和高斯噪声环境下的性能。
The coding module compresses and codes the video data under the control of the output signal of the key frame discriminant module and the important regional identification module.
在关键帧判别模块和重要区域识别模块的输出信号控制下，编码模块对视频数据进行压缩编码。
The relationship between the range of selected colors for color coding and the size of targets was investigated on a LCD under lower ambient illumination with 3100K color temperature.
采用一台有源矩阵彩色液晶显示器作为主要实验装置，对低色温、低强度背景光照射下液晶显示颜色编码范围及其与色标大小的关系进行了研究。
Although a few researches have discussed the optimization problem under network coding scenario, their aim is to seek minimum-cost multicast sub-graph.
虽然也有不少研究关注网络编码应用中的优化问题，但都侧重于求解最小代价多播子图问题。
Under the given distortion conditions, the still image coding Rate-Distortion theories discuss the max coding bit-rate.
在给定的编码率的条件下，用率失真算法计算图像编码使之达到最小的失真。
Writing the system architecture design under the guidance of enterprise architect, complete the system detail design document, and lead the developers to finish the coding and unit test.
在架构师的指导下，完成项目的架构设计编写，负责项目的详细设计，并带领程序员完成代码的编写和单元测试。
In the field of video coding, layered coding can minimize the impact caused by cell losses and ensures normal communication under bad conditions.
在视频编码领域，可以通过分层编码减少信元丢失所造成的影响，保证在恶劣条件下实现正常的通信。
Simulations show that the performance of sliding window algorithm is very much better than that of the traditional RS coding algorithm under the same channel conditions.
测试表明，在有阻塞干扰的跳频信道上，“滑动窗”算法的性能远远优于传统的RS码纠错算法。
The weighted LPCC feature based on the distortion of speech coding was explored to reduce the influence under the matched condition.
在前者中，通过分析语音编码对LPCC参数的影响，提出了一种基于编码失真的LPCC加权参数。
Speech scalable coding is widely considered to be a good scheme for multimedia communication under different conditions.
为了保证在不同通信条件下语音通信的正常进行，采用可伸缩编码技术是目前得到广泛认可的方案。
After a great deal of experiments: the algorithm can make the intra-coding efficiency improved between 10%-30%, under the condition of basically maintaining the image quality and encoding performance.
经过大量的实验证明：该算法可以在基本保持图像质量和编码性能的情况下，使得帧内编码效率得到提高了10% - 30%之间。
Mattel (mat), for example, a year ago debuted a caterpillar that teaches coding basics to preschoolers under the Fisher-Price brand.
比如美国玩具制造商美泰旗下品牌费雪去年推出一款毛毛虫玩具，可以教学龄前孩子学习编程的基本知识。
For any coding scheme, the diversity performance is distinctive under different UCTP, it is mainly due to the different Utilization of frequencies resources.
对于特定的编码方案，不同的协议，其分集性能并不相同，主要是由于频率资源利用的不同引起的。
Study of comparative genomics has revealed that about 5% of the human genome are under purifying selection, 3.5% of which are conserved non-coding elements (CNEs).
比较基因组学的研究发现：人类基因组中约5%的序列受到选择压力的限制， 但编码序列只占其中很小一部分， 约3.5%是保守、非编码序列。
Study of comparative genomics has revealed that about 5% of the human genome are under purifying selection, 3.5% of which are conserved non-coding elements (CNEs).
比较基因组学的研究发现：人类基因组中约5%的序列受到选择压力的限制， 但编码序列只占其中很小一部分， 约3.5%是保守、非编码序列。
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